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Complexity models in financial markets

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  • Thomas Landes
  • Otto Loistl

Abstract

In this approach, the complexity of the self‐organizing microstructure of the stock exchange is explicitly taken into consideration: the process of offers and trades as well as the adjustment of individual expectations are modelled with help of a (stochastic) jump process. Its abilities are illustrated by modelling the continuous quotations of asset prices at an auction type stock exchange. The functional form of the transition (hazard) rates is chosen to reflect the individual preferences and expectations as well as the economic environment. The model is described in detail and examples of Monte Carlo simulation results are presented.

Suggested Citation

  • Thomas Landes & Otto Loistl, 1992. "Complexity models in financial markets," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 8(3), pages 209-228, September.
    • Handle: RePEc:wly:apsmda:v:8:y:1992:i:3:p:209-228
    DOI: 10.1002/asm.3150080310
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    Cited by:

    1. Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
    2. Casey, Christopher, 2001. "Corporate valuation, capital structure and risk management: A stochastic DCF approach," European Journal of Operational Research, Elsevier, vol. 135(2), pages 311-325, December.
    3. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    4. Loistl, Otto & Schossmann, Bernd & Vetter, Olaf, 2001. "Xetra efficiency evaluation and NASDAQ modelling by KapSyn," European Journal of Operational Research, Elsevier, vol. 135(2), pages 270-295, December.
    5. Loistl, Otto & Schossmann, Bernd & Veverka, Alexander, 2004. "Tick size and spreads: The case of Nasdaq's decimalization," European Journal of Operational Research, Elsevier, vol. 155(2), pages 317-334, June.
    6. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.

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